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Data about power production and consumption is coming in from the edge. The edge gateway consolidates the data in 5 minute averages. This data is correlated to external events like weather and/or soccer games. ML detects pattern in the data and Decision Manager (or whatever it is called now) is then used to increase power production ahead of future events of the same kind.
Demonstrate by vastly speeding up the timescale.
Similar/related scenario with failing power lines.
The text was updated successfully, but these errors were encountered:
Scenario: asset management for energy providers
Data about power production and consumption is coming in from the edge. The edge gateway consolidates the data in 5 minute averages. This data is correlated to external events like weather and/or soccer games. ML detects pattern in the data and Decision Manager (or whatever it is called now) is then used to increase power production ahead of future events of the same kind.
Demonstrate by vastly speeding up the timescale.
Similar/related scenario with failing power lines.
The text was updated successfully, but these errors were encountered: